Progress IN Computer Recognition Systems

The 170 revised full papers presented were carefully reviewed and selected from 557 submissions. The papers are organized in topical sections on learning and information processing, data mining, retrieval and management, bioinformatics and bio-inspired models, agents and hybrid systems, financial engineering, as well as a special session on nature-inspired date technologies.

Master Computer Vision in 2025: Python, OpenCV, Deep Learning, YOLO, Tesseract OCR, Tkinter GUI & 20+ Real-Time Projects

by Jun Wan (Author), Guodong Guo (Author), Sergio Escalera (Author)
For the last ten years, face biometric research has been intensively studied by the computer vision community

Master Microsoft Azure and elevate your career with our comprehensive, hands-on course!

Image technology is a continually evolving field with various applications such as image processing and analysis, biometrics, pattern recognition, object tracking, remote sensing, medicine diagnoses and multimedia. Significant progress has been made in the level of interest in image morphology, neural networks, full color image processing, image data compression, image recognition, and knowledge -based image analysis systems.
Computer graphics has been mainly driven by engineering design processes and has established itself as a dominating methodology in computer aided design (CAD).

This book discusses new achievements in intelligent video surveillance solutions and their future prospects.

Everything you need to know about AI Engineering - Hands-on from Algorithms, Programming to Real Projects